The Young, the Restless, and the Dead
Bibliographic record
Abstract
The Young, the Restless, and the Dead captures the spirit of Canadian filmmakers through interviews with the most accomplished and dynamic of yesterday’s, today’s, and tomorrow’s film greats. Funny, provocative, and enlightening, the filmmakers reflect on their careers and explore with the interviewers the issues that challenge them. This book features an interview with a late director (Jean-Claude Lauzon) whose work is recognized in the canon as outstanding; interviews with filmmakers who are accomplished in their fields and have to their credit a sizeable body of work (Blake Corbet, Andrew Currie, Brent Carlson, Guy Maddin, Lynne Stopkewich, Anne Wheeler, Gary Burns, and Mina Shum); and an interview with a young director new to the field (Michael Dowse). Together these players in the Canadian film scene capture the energy, success, and tribulations of a fascinating cultural industry. The Young, the Restless, and the Dead is the first volume in a series of interviews with key cultural creators in the field of cinema. It seeks to bring to a wide audience the insights and emotions, the trials and achievements of significant figures in Canadian film. George Melnyk talks about The Young, the Restless, and the Dead with Eric Volmers of the Calgary Herald . Read the interview online.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.023 | 0.016 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".